Jinseong Jang
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Computational Mechanics
- Artificial Intelligence
- Co-authors
- Dosik HwangTaeseong KimTaejoon EoYohan JunHo‐Joon LeeJin Keun SeoSarah A. RajalaYoung Han Lee
- Topics
- Advanced MRI Techniques and Applications (5 papers)Medical Imaging Techniques and Applications (3 papers)Image Enhancement Techniques (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Jinseong Jang
16 papers receiving 489 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 346
- Computer Vision and Pattern Recognition 117
- Biomedical Engineering 115
- Computational Mechanics 58
- Artificial Intelligence 53
Countries citing papers authored by Jinseong Jang
This map shows the geographic impact of Jinseong Jang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinseong Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinseong Jang more than expected).
Fields of papers citing papers by Jinseong Jang
This network shows the impact of papers produced by Jinseong Jang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinseong Jang. The network helps show where Jinseong Jang may publish in the future.
Co-authorship network of co-authors of Jinseong Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinseong Jang. A scholar is included among the top collaborators of Jinseong Jang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinseong Jang. Jinseong Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 74 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 304 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 4 |
About Jinseong Jang
Jinseong Jang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (346 citations), Health Informatics (10 citations) and Computer Vision and Pattern Recognition (117 citations). Jinseong Jang has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Dosik Hwang, Taeseong Kim, Taejoon Eo, Yohan Jun, Ho‐Joon Lee, Jin Keun Seo, Sarah A. Rajala, Young Han Lee, Dongmin Kim and Kwang Nam Jin. Their work appears in journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.